Tom Dhaene

509 total citations
23 papers, 361 citations indexed

About

Tom Dhaene is a scholar working on Electrical and Electronic Engineering, Astronomy and Astrophysics and Computational Theory and Mathematics. According to data from OpenAlex, Tom Dhaene has authored 23 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 10 papers in Astronomy and Astrophysics and 3 papers in Computational Theory and Mathematics. Recurrent topics in Tom Dhaene's work include Lightning and Electromagnetic Phenomena (10 papers), Electromagnetic Compatibility and Noise Suppression (9 papers) and Microwave Engineering and Waveguides (4 papers). Tom Dhaene is often cited by papers focused on Lightning and Electromagnetic Phenomena (10 papers), Electromagnetic Compatibility and Noise Suppression (9 papers) and Microwave Engineering and Waveguides (4 papers). Tom Dhaene collaborates with scholars based in Belgium, Netherlands and Norway. Tom Dhaene's co-authors include Dirk Deschrijver, Dirk Gorissen, Luc Knockaert, Giulio Antonini, Francesco Ferranti, Domenico Spina, Qi‐Jun Zhang, Lei Zhang, Dries Vande Ginste and Luciano De Tommasi and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Microwave Theory and Techniques and IEEE Transactions on Power Delivery.

In The Last Decade

Tom Dhaene

20 papers receiving 355 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tom Dhaene Belgium 10 230 118 97 53 47 23 361
Antonio Jesús Pérez Mayo Spain 4 70 0.3× 84 0.7× 32 0.3× 32 0.6× 176 3.7× 10 291
Stephen M Carr United States 12 184 0.8× 33 0.3× 15 0.2× 15 0.3× 16 0.3× 31 414
I.A. Maio Italy 13 478 2.1× 43 0.4× 129 1.3× 4 0.1× 36 0.8× 68 572
W.T. Beyene United States 14 632 2.7× 19 0.2× 162 1.7× 6 0.1× 32 0.7× 68 685
Tarek A. El-Moselhy United States 9 130 0.6× 187 1.6× 16 0.2× 40 0.8× 73 1.6× 14 296
Jose A. Hejase United States 10 314 1.4× 19 0.2× 27 0.3× 8 0.2× 9 0.2× 43 400
P. Gunupudi Canada 13 394 1.7× 66 0.6× 93 1.0× 4 0.1× 244 5.2× 32 498
Carl Leake United States 7 22 0.1× 27 0.2× 28 0.3× 11 0.2× 125 2.7× 14 256
Ronald A. Rohrer United States 11 381 1.7× 14 0.1× 17 0.2× 4 0.1× 37 0.8× 21 452
E. Eitelberg South Africa 12 117 0.5× 25 0.2× 4 0.0× 18 0.3× 62 1.3× 39 331

Countries citing papers authored by Tom Dhaene

Since Specialization
Citations

This map shows the geographic impact of Tom Dhaene's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tom Dhaene with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Dhaene more than expected).

Fields of papers citing papers by Tom Dhaene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Dhaene. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tom Dhaene. The network helps show where Tom Dhaene may publish in the future.

Co-authorship network of co-authors of Tom Dhaene

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Dhaene. A scholar is included among the top collaborators of Tom Dhaene based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tom Dhaene. Tom Dhaene is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Romojaro, Pablo, et al.. (2025). Dataset of observables for small modular lead-cooled fast reactor MOX spent nuclear fuel. Data in Brief. 60. 111513–111513.
2.
Couckuyt, Ivo, et al.. (2024). Evaluation of Machine Learning Models for Received Signal Strength Based Visible Light Positioning with Obstacles. Ghent University Academic Bibliography (Ghent University). 318–323.
3.
Groenendaal, Willemijn, et al.. (2024). Deep Learning-Based Event Counting for Apnea-Hypopnea Index Estimation Using Recursive Spiking Neural Networks. IEEE Transactions on Biomedical Engineering. 72(4). 1306–1315.
4.
Couckuyt, Ivo, et al.. (2022). Quantifying Uncertainty in Real Time with Split BiRNN for Radar Human Activity Recognition. Ghent University Academic Bibliography (Ghent University). 173–176. 4 indexed citations
5.
Deschrijver, Dirk, et al.. (2013). Extracting Analytical Nonlinear Models from Analog Circuits by Recursive Vector Fitting of Transfer Function Trajectories. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2013. 1448–1453. 4 indexed citations
6.
Deschrijver, Dirk, Luc Knockaert, & Tom Dhaene. (2013). A Barycentric Vector Fitting Algorithm for Efficient Macromodeling of Linear Multiport Systems. IEEE Microwave and Wireless Components Letters. 23(2). 60–62. 8 indexed citations
7.
Spina, Domenico, Francesco Ferranti, Tom Dhaene, et al.. (2012). Variability Analysis of Multiport Systems Via Polynomial-Chaos Expansion. IEEE Transactions on Microwave Theory and Techniques. 60(8). 2329–2338. 82 indexed citations
8.
9.
Gorissen, Dirk, Dirk Deschrijver, Tom Dhaene, & D. De Zutter. (2012). A Software Framework for Automated Behavioral Modeling of Electronic Devices [Application Notes]. IEEE Microwave Magazine. 13(6). 102–118. 5 indexed citations
10.
Ferranti, Francesco, Giulio Antonini, Tom Dhaene, Luc Knockaert, & Albert E. Ruehli. (2011). Physics-Based Passivity-Preserving Parameterized Model Order Reduction for PEEC Circuit Analysis. IEEE Transactions on Components Packaging and Manufacturing Technology. 1(3). 399–409. 33 indexed citations
11.
Deschrijver, Dirk, Adam Narbudowicz, Eric Laermans, & Tom Dhaene. (2010). On the Application of Dimensional Analysis to Parametric Macromodeling. IEEE Microwave and Wireless Components Letters. 20(4). 190–192. 1 indexed citations
12.
Gorissen, Dirk, Lei Zhang, Qi‐Jun Zhang, & Tom Dhaene. (2010). Evolutionary Neuro-Space Mapping Technique for Modeling of Nonlinear Microwave Devices. IEEE Transactions on Microwave Theory and Techniques. 59(2). 213–229. 66 indexed citations
13.
Crombecq, Karel, et al.. (2009). Space-Filling Sequential Design Strategies for Adaptive Surrogate Modelling. Civil-comp proceedings. 23 indexed citations
14.
Deschrijver, Dirk, Bjørn Gustavsen, & Tom Dhaene. (2008). Computer code for fast macromodeling of large multiport systems. 299–302. 1 indexed citations
15.
Gorissen, Dirk, Luciano De Tommasi, J.A. Croon, & Tom Dhaene. (2008). Automatic model type selection with heterogeneous evolution: An application to RF circuit block modeling. 989–996. 11 indexed citations
16.
Tommasi, Luciano De, Dirk Deschrijver, & Tom Dhaene. (2008). Single-Input-Single-Output Passive Macromodeling via Positive Fractions Vector Fitting. 23. 1–2. 11 indexed citations
17.
Tommasi, Luciano De, Bjørn Gustavsen, & Tom Dhaene. (2008). Accurate Macromodeling Based on Tabulated Magnitude Frequency Responses. 55. 1–4. 3 indexed citations
18.
Deschrijver, Dirk, Bart Haegeman, & Tom Dhaene. (2007). ROBUST IDENTIFICATION OF TRANSIENT PORT RESPONSES USING TIME DOMAIN ORTHONORMAL VECTOR FITTING. IFAC Proceedings Volumes. 40(20). 584–589. 2 indexed citations
19.
Deschrijver, Dirk & Tom Dhaene. (2007). A Note on the Multiplicity of Poles in the Vector Fitting Macromodeling Method. IEEE Transactions on Microwave Theory and Techniques. 55(4). 736–741. 18 indexed citations
20.
Deschrijver, Dirk, et al.. (2007). Advancements in Iterative Methods for Rational Approximation in the Frequency Domain. IEEE Transactions on Power Delivery. 22(3). 1633–1642. 61 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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